AI Project Manager – London | Visa + Salary Insights

📍 Location: gb

🏷 Type: Not specified

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Job Overview

This is a Senior-Level AI Project Manager role at a leading biomedical research institute, focused on driving AI infrastructure, software delivery, and scientific innovation. You will operate at the intersection of AI, research computing, and enterprise IT, enabling scalable AI platforms for scientific discovery. The ideal candidate brings 5+ years experience in technical project delivery, with proven exposure to AI implementation and software engineering environments, and thrives in ambiguous, fast-evolving ecosystems.

🌍 Work Eligibility & Location

This role is Onsite in London, offering direct access to one of the most advanced AI-enabled research ecosystems in Europe. Strong advantage for international candidates due to visa sponsorship availability, making it accessible globally. However, relocation readiness is essential given the non-remote structure.

💰 Salary Intelligence

The base salary of £60,000+ is competitive within the UK public and research sector, especially when combined with benefits like 16% pension contributions. While slightly below top-tier private AI firms, the compensation is balanced by high-impact work, stability, and research exposure. For a Senior-Level role in a non-commercial environment, this is a strong long-term value proposition.

📊 Role Breakdown

This role operates in a highly dynamic AI landscape, requiring you to manage end-to-end project delivery (40%) across infrastructure and software systems supporting AI research. You will coordinate AI platform implementation (25%), ensuring scalable, production-ready systems derived from experimental prototypes. A key portion involves stakeholder alignment (15%), working across scientists, engineers, and enterprise IT teams to translate complex ideas into structured delivery plans.

Additionally, you will oversee roadmap tracking and portfolio visibility (10%), ensuring alignment between research-driven AI initiatives and operational IT priorities. The remaining 10% focuses on post-deployment optimization, driving adoption and continuous improvement of AI tools.

Technologies include AI/ML platforms, cloud infrastructure, software engineering pipelines, and enterprise IT systems. Success depends on your ability to structure ambiguity, manage uncertainty, and translate exploratory AI work into measurable outcomes.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a high-difficulty Senior-Level role requiring 5+ years of experience and the ability to operate across technical and scientific domains. The biggest challenge is not coding but navigating ambiguity and aligning AI innovation with structured delivery. Expect strong competition from candidates with hybrid experience in AI systems, infrastructure, and enterprise project management.

🚀 Career Impact

This role offers strong career acceleration into AI leadership, especially in research-driven environments. You gain exposure to pre-product AI innovation, which is rare in commercial roles. Long-term outcomes include Head of AI Delivery, AI Program Director, or Research Technology Lead, making this a strategic move for candidates seeking impact beyond traditional corporate KPIs.

📋 Key Responsibilities

You will manage end-to-end AI project delivery, from concept through deployment and operational transition. This includes planning, risk management, and resource allocation across multiple concurrent initiatives. You will collaborate with scientists, engineers, and IT leaders to translate experimental AI work into scalable systems.

A core responsibility is to structure loosely defined AI initiatives into actionable roadmaps using project management frameworks and software delivery practices. You will also track AI infrastructure and enterprise IT enhancements, ensuring alignment with broader institutional goals.

Post-deployment, you will drive adoption and optimization of AI tools, working closely with training and communications teams. Technologies include AI platforms, cloud systems, and software engineering pipelines, requiring strong technical fluency without deep specialization.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role is high urgency with a fixed deadline, meaning early applications gain advantage. Given the global competition and niche blend of AI plus project delivery, shortlisting will likely prioritize candidates with proven execution in similar environments. Apply as soon as possible with a tailored CV.

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✅ Job Source & Verification

This job listing is sourced directly from the official careers page of a globally recognized research institute, ensuring high source credibility. Details such as salary, responsibilities, and visa eligibility are extracted from the original posting. Last updated: April 2026. Always verify on the official site before applying to ensure no updates or changes.